This is a reminder that this event will happen in less than 35 min. Here's
the streaming link:
On Mon, Aug 18, 2014 at 9:37 AM, Leila Zia <leila(a)wikimedia.org> wrote:
The next Research & Data showcase
<https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase>
will be live-streamed this Wednesday, 8/20 at 11.30 PT.
The streaming link will be posted on the lists a few minutes before the
showcase starts and as usual, you can join the conversation on IRC at
#wikimedia-research.
We look forward to seeing you!
Leila
This month:
*Everything You Know About Mobile Is WrW^Right: Editing and Reading
Pattern Variation Between User Types*
By *Oliver Keyes*: Using new geolocation tools, we look at reader and
editor behaviour to understand how and when people access and contribute to
our content. This is largely exploratory research, but has potential
implications for our A/B testing and how we understand both cultural
divides between reader and editor groups from different countries, and how
we understand the differences between types of edit and the editors who
make them.
*Wikipedia article curation: understanding quality, recommending tasks*
By *Morten Warncke-Wang**: In this talk we look at article curation in
Wikipedia through the lens of task suggestions and article quality. The
first part of the talk presents SuggestBot, the Wikipedia article
recommender. SuggestBot connects contributors with articles similar to
those they previously edited. In the second part of the talk, we discuss
Wikipedia article quality using “actionable” features, features that
contributors can easily act upon to improve article quality. We will first
discuss these features’ ability to predict article quality, before coming
back to SuggestBot and show how these predictions and actionable features
can be used to improve the suggestions.
*Bio: Morten Warncke-Wang is a PhD student at the GroupLens research lab,
University of Minnesota. His main research focus is artefact quality and
task recommendations in peer production communities. On the task
recommendation side he has maintained the Wikipedia article recommender
SuggestBot (
http://en.wikipedia.org/wiki/User:SuggestBot) since 2010,
expanding it to support six languages and additional information about
recommended articles. His work on artefact quality looks at understanding
quality through features contributors can easily improve, using them to
both predict Wikipedia article quality and suggest improvement tasks to
Wikipedia contributors.
You can find more information about his research on his homepage:
http://www-users.cs.umn.edu/~morten/